1 Scenario definitions

  • Tree canopy

    • Population-based Scenario: AI: Increase by 10% in all zip codes

    • Targeted

      • Scenario AII1: Increase by 10% in zip codes in the lowest 1/5th of current TC cover (i.e. <=20th pctile)

      • Scenario AII2: Increase by 10% in zip codes in the highest 1/5th of the Social Vulnerability Index (i.e. >80th pctile)

      • Scenario AII3: Increase by 10% in zip codes in the highest 1/5th of hospitalization burden (i.e. >80th pctile)

    • Proportionate-universalism

      • Scenario AIII1: Increase by 10% for bottom 1/5th of current TC cover… down to 2% for top 1/5th

      • Scenario AIII2: Increase by 10% for top 1/5th of SVI … down to 2% for bottom 1/5th

      • Scenario AIII3: Increase by 10% for top 1/5th of hospitalization burden … down to 2% for bottom 1/5th

  • Impervious surface cover

    • Population-based: Scenario BI: Decrease by 10% in all zip codes

    • Targeted

      • Scenario BII1: Decrease by 10% in zip codes in the highest 1/5th of current imperv cover (i.e. >80th pctile)

      • Scenario BII2: Decrease by 10% in zip codes in the highest 1/5th of the Social Vulnerability Index (i.e. >80th pctile)

      • Scenario BII3: Decrease by 10% in zip codes in the highest 1/5th of hospitalization burden (i.e. >80th pctile)

    • Proportionate-universalism

      • Scenario BIII1: Decrease by 10% for top 1/5th of current imperv cover … down to 2% for bottom 1/5th

      • Scenario BIII2: Decrease by 10% for top 1/5th of SVI … down to 2% for bottom 1/5th

      • Scenario BIII3: Decrease by 10% for top 1/5th of hospitalization burden … down to 2% for bottom 1/5th

2 Visualization of scenarios

The following maps visualize, for each scenario, ratio-based and difference-based effect estimates on hospitalizations in California at the level of the zip-code tabulation area.

2.1 Tree canopy

2.1.1 Population-based Scenario

Ratio

Difference

2.1.2 Targeted Scenario

Ratio

Difference